In this paper, we propose a versatile graph inference framework for learning from graph signals corrupted by exponential family noise. Our framework generalizes previous methods from continuous smooth ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

In this paper, the applicability and performance of linear discriminant analysis (LDA) for building types' classification are investigated. Building models at a level of detail 1 (LoD1) are derived ...